| name | zouroboros-introspect |
| description | Self-diagnostic health scorecard for the Zouroboros system. Measures memory recall quality, knowledge graph connectivity, swarm routing accuracy, eval calibration, procedure freshness, and autoloop efficiency. Outputs a ranked scorecard with improvement opportunities. Run daily or on-demand to feed the self-enhancement pipeline.
|
| compatibility | Created for Zo Computer |
| metadata | {"author":"marlandoj.zo.computer","version":"1.0.0","phase":"Zouroboros Phase 1 — Introspection"} |
Zouroboros Introspect
Self-diagnostic agent that measures health across all Zouroboros subsystems and produces a ranked scorecard of improvement opportunities.
Usage
bun Skills/zouroboros-introspect/scripts/introspect.ts [--json] [--store] [--verbose]
Flags
| Flag | Description |
|---|
--json | Output scorecard as JSON instead of formatted text |
--store | Store the scorecard as a memory episode with outcome and entity tags |
--verbose | Show detailed per-check output |
What It Measures
| Metric | Source | Target | Weight |
|---|
| Memory Recall | eval-continuation.ts | ≥ 85% pass rate | 0.25 |
| Graph Connectivity | graph.ts knowledge-gaps | ≥ 80% linked facts | 0.15 |
| Routing Accuracy | Episode analysis (predicted vs actual) | ≥ 85% | 0.20 |
| Eval Calibration | Stage 3 override rate from eval reports | ≤ 15% override | 0.15 |
| Procedure Freshness | Procedures not evolved in 14+ days | ≤ 30% stale | 0.15 |
| Episode Velocity | Success/failure trend over 14 days | Positive trend | 0.10 |
Output
Formatted scorecard with:
- Per-metric score, trend arrow, and status (HEALTHY / WARNING / CRITICAL)
- Composite health score (0–100)
- Ranked improvement opportunities with recommended action
- Weakest subsystem identification
Integration
- Memory:
--store saves scorecard as episode ([[zouroboros.introspection]])
- Prescribe: Output feeds Phase 2 prescription engine
- Scheduling: Run as daily Zo agent at 05:00 AM Phoenix (after conversation capture at 04:00)
References
references/metric-thresholds.md — threshold tuning guide and rationale